Senior Data Engineer

October 20

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KodeKloud

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Linux • DevOps • Cloud Computing • Docker • Kubernetes

51 - 200

Description

• You will interpret data and analyze results using various statistical techniques. • Collaborate closely with stakeholders both within and outside the company. • Collect, clean, and analyze data from multiple sources to identify trends, patterns, and opportunities for optimization. • Develop and maintain dashboards, reports, and visualizations to track and communicate business performance metrics. • Conduct ad-hoc analysis and deep dives into specific business areas to uncover insights and root causes of issues. • Based on data analysis, provide recommendations for process improvements, resource allocation, and strategic initiatives. • Support decision-making processes by providing data-driven insights and scenario analysis. • Conduct a thorough analysis of marketing performance metrics, including but not limited to campaign effectiveness, customer acquisition, conversion rates, ROI, and customer segmentation. • Plan A/B testing, experimentation, and hypothesis testing to drive continuous improvement in marketing strategies and tactics. • Collaborate with cross-functional teams, including Marketing, Sales, and Product to identify opportunities for optimization and improvement.

Requirements

• 7-12 years of experience combined with data analysis and data engineering. • Exceptional data orientation with proficiency in End to End data visualization • Build Data warehouse ETL processes and tools • Cloud platforms • Programming in Python or R • Big data technologies • Setting up data pipelines from scratch • Experience in both B2C and B2B. • Implementing data governance • MUST HAVE: Analytical and problem-solving abilities • Communication skills (technical to non-technical translation) • Project management experience • Understanding of business metrics, marketing metrics, and KPIs • Requirements gathering and translation to technical specs • GOOD TO HAVE: Familiarity with e-learning industry • Understanding of subscription-based business models • Experience with customer analytics • Content performance analytics knowledge

Benefits

• Flexible, fully remote working arrangements. • Competitive Salary & Benefits • Opportunities for professional growth and career advancement. • Dynamic and supportive work culture. • Access to continuous learning and development resources. • Work From home setup allowance.